Search Results for author: Kai Gao

Found 8 papers, 8 papers with code

M-SENA: An Integrated Platform for Multimodal Sentiment Analysis

3 code implementations ACL 2022 Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, Kai Gao

The platform features a fully modular video sentiment analysis framework consisting of data management, feature extraction, model training, and result analysis modules.

Multimodal Sentiment Analysis

Lazy Rearrangement Planning in Confined Spaces

2 code implementations19 Mar 2022 Rui Wang, Kai Gao, Jingjin Yu, Kostas Bekris

Object rearrangement is important for many applications but remains challenging, especially in confined spaces, such as shelves, where objects cannot be accessed from above and they block reachability to each other.

Motion Planning

Consistent Representation Learning for Continual Relation Extraction

1 code implementation Findings (ACL) 2022 Kang Zhao, Hua Xu, Jiangong Yang, Kai Gao

Specifically, supervised contrastive learning based on a memory bank is first used to train each new task so that the model can effectively learn the relation representation.

Continual Relation Extraction Contrastive Learning +2

A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation

1 code implementation21 Apr 2021 Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu

Leveraging on constant structure and disease relations extracted from domain knowledge, we propose a structure-aware relation network (SAR-Net) extending Mask R-CNN.

Instance Segmentation Object Detection

Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search

2 code implementations28 Jan 2021 Rui Wang, Kai Gao, Daniel Nakhimovich, Jingjin Yu, Kostas E. Bekris

DFSDP is extended to solve single-buffer, non-monotone instances, given a choice of an object and a buffer.

Cross-Modal BERT for Text-Audio Sentiment Analysis

1 code implementation ACM Multimedia 2020 Kaicheng Yang, Hua Xu, Kai Gao

In this paper, we propose the Cross-Modal BERT (CM-BERT), which relies on the interaction of text and audio modality to fine-tune the pre-trained BERT model.

Multimodal Sentiment Analysis Natural Language Inference +1

Cannot find the paper you are looking for? You can Submit a new open access paper.